# flash Published articles for flash. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Run Zephyr on ESP32 with QEMU: no board required DevFeed: [Run Zephyr on ESP32 with QEMU: no board required]() Original publisher: [Read original article]() Author: John Lee Published: 2026-09-15T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [Zephyr RTOS](), [ESP32](), [qemu](), [Espressif](), [Emulator](), [Embedded Software Dev](), [SDK]() Tags: [blog](), [boot](), [bootloader](), [build](), [debugger](), [emulator](), [esp32](), [esp32-c3](), [esp32-c6](), [esp32-s3](), [espressif](), [firmware](), [flash](), [gdb](), [install](), [qemu](), [sdk](), [toolchain](), [tutorial](), [zephyr]() ### AI overview This tutorial explains how to install and use the Espressif QEMU fork to build and run Zephyr firmware for emulated ESP32, ESP32-S3, ESP32-C3, and ESP32-C6 targets without physical boards. It covers Simple Boot and MCUboot/sysbuild workflows, debugger attachment through GDB, and the relevant Zephyr SDK toolchain setup. ### Source excerpt Install the Espressif QEMU fork and run Zephyr on emulated ESP32, ESP32-S3, ESP32-C3, and ESP32-C6 targets without a physical board. ## DeepSeek's new model sets a template for powerful LLMs that run lean DevFeed: [DeepSeek's new model sets a template for powerful LLMs that run lean]() Original publisher: [Read original article]() Author: Tobias Mann Published: 2026-09-11T07:15:00Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [deepseek](), [Large Language Model](), [Caching](), [Latency](), [Google]() Tags: [ai-and-ml](), [cache](), [compute](), [cost](), [datacenter](), [deepseek](), [embedding](), [flash](), [google](), [gpu](), [latency](), [llm](), [llms](), [model](), [release]() ### AI overview DeepSeek V4.1 Flash is a larger LLM whose architectural changes aim to reduce serving memory and compute needs. The article highlights lower KV-cache consumption, improved prompt processing, and an N-gram-based conditional memory module. ### Source excerpt DeepSeek V4.1 Flash proves that just because you build a bigger model doesn't mean you need more GPUs to serve it ## Get Gemini 3.8 Flash With 75% Off DevFeed: [Get Gemini 3.8 Flash With 75% Off]() Original publisher: [Read original article]() Author: Dmitry Savelev Published: 2026-09-09T14:18:17Z Content type: release Language: en Sources: [The JetBrains Blog]() Topics: [coding](), [Google](), [releases](), [Command-line interface](), [ide]() Tags: [agentic-ai](), [agents](), [benchmark](), [cli](), [coding](), [flash](), [gemini](), [google](), [ide](), [jetbrains-ai](), [junie](), [launch](), [model](), [promotion](), [sales](), [testing]() ### AI overview Gemini 3.8 Flash is now available in Junie's IDE plugin and CLI at a limited-time 75% discount. The article presents it as a coding model for multi-step engineering tasks that explores, tests, and verifies changes before finishing. ### Source excerpt Google's newest coding model, Gemini 3.8 Flash, is tuned for long jobs and comes with an incredible launch discount. Google shipped three Flash releases in six weeks, and the newest one is built for exactly the kind of work Junie does all day: multi-step engineering tasks that take real exploration to get right. Gemini 3.8 [...] ## Introducing Gemini 3.8 Flash and 3.8 Flash Cyber DevFeed: [Introducing Gemini 3.8 Flash and 3.8 Flash Cyber]() Original publisher: [Read original article]() Author: Tulsee Doshi Published: 2026-09-02T16:18:31Z Content type: release Language: en Sources: [Google DeepMind News]() Topics: [releases](), [AI Chat](), [AI Bots]() Tags: [agentic](), [benchmark](), [coding](), [cybersecurity](), [flash](), [gemini](), [none](), [reasoning](), [release](), [software-engineering](), [vulnerability]() ### AI overview Google introduces Gemini 3.8 Flash and Gemini 3.8 Flash Cyber, highlighting coding, multi-step reasoning, autonomous-agent use, cybersecurity capabilities, pricing, and benchmark claims. ### Source excerpt Gemini 3.8 Flash and 3.8 Flash Cyber deliver next-generation intelligence for agentic workflows and cybersecurity. ## Gemini 3.8 Flash now available on AI Gateway DevFeed: [Gemini 3.8 Flash now available on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-09-02T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Artificial Intelligence](), [Language models](), [Google](), [context window](), [AI-assisted coding]() Tags: [ai](), [ai-gateway](), [coding-agents](), [context-window](), [flash](), [google](), [inference](), [language-models]() ### AI overview Vercel announces that Gemini 3.8 Flash from Google is available on AI Gateway, with a 1M-token context window, multimodal input, tool calling, web search, and a 65,536-token maximum output. The model is discounted by 50% through December 31 and is positioned as an improvement for software engineering, agent work, and multi-step reasoning. ### Source excerpt Gemini 3.8 Flash from Google is now available on AI Gateway. The model is 50% off through December 31st. It has a 1M token context window, accepts text, image, PDF, and video input, returns text, and supports tool calling and web search. Maximum output is 65,536 tokens. Gemini 3.8 Flash improves on prior Flash models at software engineering, agent work, and multi-step reasoning, at the same speed and cost as the previous release. Thinking is on by default. To use Gemini 3.8 Flash, set model to google/gemini-3.8-flash: To use it in a coding agent, see the coding agents guide, then run vercel ai-gateway coding-agents setup to connect agents like Claude Code, OpenCode, Cursor, Pi, and more and select google/gemini-3.8-flash inside the agent. Try Gemini 3.8 Flash in the model playground. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests. You can view all language models available on AI Gateway. Read more ## Agents on Rails: Claude Fable 5.1 and GLM 5.3 Flash (formerly known as ox-alpha) DevFeed: [Agents on Rails: Claude Fable 5.1 and GLM 5.3 Flash (formerly known as ox-alpha)]() Original publisher: [Read original article]() Author: Svyatoslav Kryukov, Artur Petrov Published: 2026-09-02T00:00:00Z Content type: news Language: en Sources: [Ruby on Rails: Compress the complexity of modern web apps]() Topics: [Claude]() Tags: [agents](), [apis](), [benchmark](), [claude](), [cost](), [flash](), [leaderboard](), [model](), [security]() ### AI overview A benchmark update compares Claude Fable 5.1 with Claude Opus 5, Fable 5, and GLM 5.3 Flash on Rails tasks, accuracy, cost, speed, security-task handling, and Rails API recall. ### Source excerpt Claude Fable 5.1 dropped yesterday. See how it handles real Rails tasks, and where it landed on the leaderboard today. We also finally have a name for the stealth model from the last round. ## Introducing agentic video understanding with Gemini DevFeed: [Introducing agentic video understanding with Gemini]() Original publisher: [Read original article]() Author: Rohan Doshi Published: 2026-09-01T17:08:51Z Content type: release Language: en Sources: [Google DeepMind News]() Topics: [Google AI](), [Google]() Tags: [agentic](), [ai](), [analysis](), [api](), [audio](), [benchmarks](), [cost](), [developers](), [enterprise](), [feature](), [flash](), [gemini](), [google-ai](), [models](), [none](), [performance](), [reasoning](), [retrieval](), [tools](), [transcripts](), [video]() ### AI overview Google launches agentic video understanding for Gemini Flash models. It uses native video tools to inspect relevant frames, audio, and transcripts, aiming to improve video-analysis accuracy while reducing token use and cost. ### Source excerpt We're launching agentic video understanding across our latest Gemini models for improved accuracy and lower costs and token usage. ## Ling 3.0 Flash Fin now available on AI Gateway for free DevFeed: [Ling 3.0 Flash Fin now available on AI Gateway for free]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-08-27T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Language models](), [AI-assisted coding]() Tags: [agent](), [ai](), [ai-gateway](), [coding](), [flash](), [language-models](), [model](), [reasoning](), [research](), [tool](), [vercel](), [workflows]() ### AI overview Ling 3.0 Flash Fin, a finance-focused language model from Inclusion AI, is available on AI Gateway for free through September 25. It supports a 256K-token context window, up to 32K output tokens, reasoning, function calling, and multi-step tool-use workflows. ### Source excerpt Ling 3.0 Flash Fin from Inclusion AI is now available on AI Gateway and free to use through September 25. Ling 3.0 Flash Fin is a finance-focused version of Ling 3.0 Flash. It has a 256K-token context window, produces up to 32K output tokens, and supports reasoning and function calling. The model is designed for financial research and analysis, including multi-step workflows that user multiple tool calls before producing an answer. Choose a model ID based on what should happen after the free period: Continue after September 25: Use inclusionai/ling-3.0-flash-fin. Requests are free during the offer and begin billing at the standard rate when it ends. Stop after September 25: Use inclusionai/ling-3.0-flash-fin-free. This model ID returns an error after the offer ends, preventing future charges. To use Ling 3.0 Flash Fin with a coding agent, run vercel ai-gateway coding-agents setup, then select either model ID as your agent's model. See the coding agents guide for more. Try Ling 3.0 Flash Fin in the model playground, or browse all language models. Read more ## GLM 5.3 Flash now available on AI Gateway DevFeed: [GLM 5.3 Flash now available on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-08-26T00:00:00Z Content type: news Language: en Sources: [Vercel News]() Topics: [AI Chat]() Tags: [agent](), [ai](), [ai-gateway](), [coding](), [flash](), [images](), [language-models](), [model](), [multimodal](), [playground](), [streaming](), [vercel]() ### AI overview GLM 5.3 Flash from Z.ai is now available through AI Gateway. The multimodal coding model supports text and image inputs, function calling, structured output, streaming, and a 1M-token context window. ### Source excerpt GLM 5.3 Flash from Z.ai is now available on AI Gateway as zai/glm-5.3-flash. GLM 5.3 Flash is a multimodal coding model with a 1M-token context window. It accepts both text and image inputs and supports function calling, structured output, and streaming. To include images, pass them with text in a message. A request can include multiple images using URLs, Base64 data URLs, or binary data: To use GLM 5.3 Flash with a coding agent, run vercel ai-gateway coding-agents setup, then select zai/glm-5.3-flash as your agent's model. Try GLM 5.3 Flash in the model playground, or browse all language models. Read more ## Hands-on with Raspberry Pi's CM5 Programming Jig DevFeed: [Hands-on with Raspberry Pi's CM5 Programming Jig]() Original publisher: [Read original article]() Author: jeff@jeffgeerling.com (Jeff Geerling) Published: 2026-08-19T07:13:00Z Content type: article Language: en Sources: [Jeff Geerling]() Topics: [Provisioning](), [Programming](), [Open Source](), [Python]() Tags: [cm5](), [compute-module](), [demo](), [flash](), [images](), [management-tools](), [open-source](), [programming-jig](), [python](), [raspberry-pi](), [raspberry-pi-os](), [testing](), [tools](), [video](), [youtube]() ### AI overview Hands-on evaluation of Raspberry Pi's CM5 Programming Jig for provisioning and flashing Raspberry Pi OS onto multiple Compute Modules. The article covers its workflow, setup, web interface, imaging tools, pricing, and comparison with Everypin's CM5 Flash Jig. ### Source excerpt In the before-times, when Raspberry Pi CM5s were (relatively) affordable, I built a number of Pi clusters (example), and one of the most annoying parts of the build was flashing Raspberry Pi OS to all the Pis. One, two, or even three Pis isn't a big deal, but once you hit 4+, the process of plugging the Compute Module into a carrier board, plugging that into a computer, managing Raspberry Pi Imager, and trying to match up details like a hostname, MAC address, and the physical Pi itself, gets annoying. ## Low-latency, high-throughput SQS event processing with AWS Lambda provisioned mode DevFeed: [Low-latency, high-throughput SQS event processing with AWS Lambda provisioned mode]() Original publisher: [Read original article]() Author: Ben Freiberg Published: 2026-08-10T13:42:03Z Content type: article Language: en Sources: [AWS Compute Blog]() Topics: [Amazon Simple Queue Service (SQS)](), [AWS Lambda](), [Latency](), [Low Latency](), [Amazon Web Services](), [Concurrency](), [Kafka](), [Internet of things](), [telemetry]() Tags: [amazon-simple-queue-service-sqs](), [amazon-sqs](), [apache-kafka](), [aws](), [aws-lambda](), [concurrency](), [event-driven](), [flash](), [fraud](), [kafka](), [latency](), [low-latency](), [payment-processing](), [real-time](), [telemetry]() ### AI overview AWS explains how provisioned mode for Amazon SQS event source mappings with AWS Lambda provides explicit control over event pollers to support low-latency, high-throughput event processing. The article describes default and provisioned scaling, concurrency limits, throughput, and use cases including real-time payments, fraud detection, IoT telemetry, and flash-sale order fulfillment. ### Source excerpt Customers building event-driven applications on AWS rely on Amazon Simple Queue Service (Amazon SQS) and AWS Lambda event source mappings (ESMs) to process millions of events every day. The fully managed polling infrastructure of ESMs eliminates the need to write and maintain custom code. You can focus on business logic while Lambda handles scaling, batching, [...] ## I Tried MX Linux on Raspberry Pi: Here's How to Install It DevFeed: [I Tried MX Linux on Raspberry Pi: Here's How to Install It]() Original publisher: [Read original article]() Author: Dhairya Parikh Published: 2026-08-06T03:06:03Z Content type: tutorial Language: en Sources: [RaspberryTips]() Topics: [Linux](), [xfce](), [Disk image](), [Hardware](), [GUI](), [ssh]() Tags: [flash](), [guide](), [hardware](), [how-to-tutorials](), [linux](), [monitor](), [os](), [pi-4](), [raspberry-pi](), [raspberry-pi-os](), [ssh](), [storage](), [tools](), [tutorial]() ### AI overview A hands-on guide to installing MX Linux on supported Raspberry Pi models. It covers the required hardware and software, downloading the MX Linux image, flashing it to an SD card or USB stick, completing the first boot, and performing initial setup. The distribution is based on Raspberry Pi OS and uses XFCE as its desktop environment. ### Source excerpt I've wanted to try MX Linux on a Raspberry Pi for a long time, but until recently there simply wasn't an official way to install it. Now that that's changed, it's finally possible to see if this distribution is a good fit for the Pi. In this guide, I'll show you how to get it... ## DeepSeek V4 Flash is 90% off through Novita on AI Gateway DevFeed: [DeepSeek V4 Flash is 90% off through Novita on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-08-04T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [deepseek](), [API](), [API keys](), [Vercel](), [dashboards]() Tags: [ai](), [api](), [customers](), [deepseek](), [flash](), [model](), [playground](), [vercel]() ### AI overview DeepSeek v4 Flash is available at a 90% discount through Novita on Vercel's AI Gateway for Vercel Pro customers through August 11. Users can configure the specified DeepSeek model, prioritize Novita with fallback providers, create an API key, or test the model in the playground. ### Source excerpt DeepSeek v4 Flash is 90% off on AI Gateway when you route to Novita. The discount is available to Vercel Pro customers through August 11. To get the discounted rate, set the model to deepseek/deepseek-v4-flash or deepseek/deepseek-v4-flash-0731 and put Novita first with the order option: If Novita can't serve the request, it falls back to other providers at the standard rate. After August 11, the model stays available at standard rates with no markup. Create an API key in the AI Gateway section of your dashboard, or try the model first in its playground. Read more ## DeepSeek V4 Flash now runs updated weights on AI Gateway DevFeed: [DeepSeek V4 Flash now runs updated weights on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-07-31T07:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [AI, ML & Data Engineering](), [vercel ai sdk](), [AI-assisted coding]() Tags: [agent](), [agentic](), [ai-gateway](), [coding](), [deepseek](), [flash](), [inference](), [model](), [vercel]() ### AI overview DeepSeek V4 Flash now uses updated weights by default through AI Gateway, improving its Terminal-Bench score without requiring a model ID or code change. ### Source excerpt DeepSeek V4 Flash now runs on updated weights by default on AI Gateway, with notably stronger agentic capabilities. On Terminal-Bench, it scores 82.7, up 25.8 points from 56.9 in the April preview. Requests to deepseek/deepseek-v4-flash pick up the new weights automatically, with no change to the model ID or your code. For now, DeepSeek is the only provider serving the updated weights. Other providers, including ones with Zero Data Retention, are coming next week. To use the updated DeepSeek V4 Flash, set model to deepseek/deepseek-v4-flash in the AI SDK. AI Gateway will route to providers with the new weights by default: To run V4 Flash in a coding agent, use vercel ai-gateway coding-agents setup to connect your agents to AI Gateway, then select deepseek/deepseek-v4-flash in the agent's model configuration. See the coding agents guide. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests. Learn more about AI Gateway, view the AI Gateway model leaderboard or try it in our model playground. Read more ## Recovery Bootloader DevFeed: [Recovery Bootloader]() Original publisher: [Read original article]() Author: John Lee Published: 2026-07-27T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [ESP-IDF](), [ESP32-C5](), [Boot Process](), [Security]() Tags: [blog](), [bootloader](), [embedded-systems](), [esp-idf](), [esp32-c5](), [flash](), [ota](), [updates](), [vulnerability]() ### AI overview This article explains how to safely perform bootloader OTA updates with the recovery bootloader feature. It describes keeping a known-good bootloader image in a separate flash location so the device can recover if the primary bootloader becomes invalid. Examples use ESP-IDF v6.1 and ESP32-C5. ### Source excerpt In this article, we will explore how to safely perform OTA updates for the bootloader using the recovery bootloader feature. ## Gemini 3.6 Flash and Gemini 3.5 Flash-Lite are now available on AI Gateway DevFeed: [Gemini 3.6 Flash and Gemini 3.5 Flash-Lite are now available on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-07-21T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [vercel ai sdk](), [SDKs](), [AI-assisted coding](), [Web Development]() Tags: [agentic](), [ai-gateway](), [ai-models](), [api](), [api-keys](), [coding](), [cost](), [flash](), [gemini](), [inference](), [leaderboard](), [model](), [models](), [performance](), [routing](), [web-development]() ### AI overview Vercel AI Gateway now offers Gemini 3.6 Flash and Gemini 3.5 Flash-Lite. The release highlights coding and agentic-task improvements, AI SDK model identifiers, and Gateway features for model access, usage tracking, routing, and reliability. ### Source excerpt Gemini 3.6 Flash and Gemini 3.5 Flash-Lite are now available on AI Gateway. Gemini 3.6 Flash improves quality across coding, agentic tasks, and web development while consuming fewer tokens and making fewer model calls. It produces cleaner web and app development output. Gemini 3.5 Flash Lite upgrades the agentic capabilities of the Flash-Lite tier, making it a good fit for subagents that handle scoped parts of a larger task. To use them, set model to google/gemini-3.6-flash or google/gemini-3.5-flash-lite in the AI SDK: AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting, Zero Data Retention support, budgets for API keys, routing rules, and more. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests. Try Gemini 3.6 Flash in the model playground. Read more ## Profiling in PyTorch (Part 3): Attention is all you profile DevFeed: [Profiling in PyTorch (Part 3): Attention is all you profile]() Original publisher: [Read original article]() Author: Aritra Roy Gosthipaty; Sergio Paniego; Sayak Paul; Rémi Ouazan Reboul Published: 2026-07-10T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [AI, ML & Data Engineering](), [jobs](), [cpu]() Tags: [artificial-intelligence](), [cudnn](), [flash](), [gpu](), [jobs](), [kernel](), [profile](), [pytorch](), [torch](), [traces](), [xformers]() ### AI overview A PyTorch profiling tutorial examines naive attention, identifying its primitive operations and the CPU and GPU kernels they launch. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## How to Install Armbian on Raspberry Pi, The Easy Way DevFeed: [How to Install Armbian on Raspberry Pi, The Easy Way]() Original publisher: [Read original article]() Author: Patrick Fromaget Published: 2026-06-25T02:20:20Z Content type: tutorial Language: en Sources: [RaspberryTips]() Topics: [Operating system](), [Linux](), [Ubuntu](), [Debian](), [Command-line interface](), [GUI](), [USB]() Tags: [command-line](), [debian](), [flash](), [gui](), [guide](), [how-to](), [how-to-tutorials](), [images](), [os](), [raspberry-pi](), [raspberry-pi-5](), [raspberry-pi-os](), [storage](), [tutorial](), [ubuntu](), [usb]() ### AI overview A tutorial explaining how to install Armbian on recent Raspberry Pi boards, including the Raspberry Pi 5. It covers choosing between minimal and desktop editions, selecting Debian- or Ubuntu-based images, flashing the image to an SD card or USB drive, and completing the first-boot setup. ### Source excerpt I recently installed Armbian on one of my Raspberry Pi boards, and I was surprised by how much it has improved over the years. If you're curious about trying it yourself, I'll walk you through the installation process and help you get started. Armbian can now be installed on all recent Raspberry Pi models, including... ## Introducing computer use in Gemini 3.5 Flash DevFeed: [Introducing computer use in Gemini 3.5 Flash]() Original publisher: [Read original article]() Author: Mateo Quiros Published: 2026-06-24T16:30:01Z Content type: release Language: en Sources: [Google DeepMind News]() Topics: [Google AI](), [AI Bots](), [Developer Tools]() Tags: [agentic](), [api](), [automation](), [browser](), [computer-use](), [enterprise](), [flash](), [gemini](), [none](), [safety](), [software-testing](), [tool]() ### AI overview Gemini 3.5 Flash adds built-in computer use for building agents that act across browser, mobile, and desktop environments. The release also describes safeguards for sensitive actions and indirect prompt injection. ### Source excerpt A look at the built-in computer use tool in Gemini 3.5 Flash. ## Introducing Gemini Omni DevFeed: [Introducing Gemini Omni]() Original publisher: [Read original article]() Author: Koray Kavukcuoglu Published: 2026-05-17T19:50:57Z Content type: release Language: en Sources: [Google DeepMind News]() Topics: [AI Chat]() Tags: [audio](), [flash](), [gemini](), [generate](), [google](), [images](), [model](), [multimodal](), [none](), [video](), [youtube]() ### AI overview Gemini Omni is a new multimodal model for generating and conversationally editing videos from image, audio, video, and text inputs. The article announces Gemini Omni Flash for the Gemini app, Google Flow, and YouTube Shorts. ### Source excerpt Introducing Gemini Omni, which allows you to create anything from any input and edit naturally using conversational language. ## ESP-IDF Tools Local MCP Server: Build, Flash, and Manage Projects from Your AI Assistant DevFeed: [ESP-IDF Tools Local MCP Server: Build, Flash, and Manage Projects from Your AI Assistant]() Original publisher: [Read original article]() Author: John Lee Published: 2026-04-28T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [ESP-IDF](), [MCP Server](), [Model Context Protocol](), [Claude Code](), [cursor](), [ESP32]() Tags: [ai](), [blog](), [claude-code](), [cursor](), [eim](), [esp-idf](), [firmware](), [flash](), [how-to](), [idf-py](), [mcp](), [mcp-server](), [terminal]() ### AI overview Espressif's ESP-IDF Tools local MCP server lets MCP-capable AI clients perform project actions such as setting targets, building firmware, listing connected devices, flashing, and checking project state. The article explains how it complements the remote Documentation MCP server and provides setup and startup instructions. ### Source excerpt ESP-IDF v6.0 introduces the Tools local MCP server, a feature that lets AI clients like Cursor and Claude Code control your projects - setting targets, building, flashing, and checking status. This article explains how it works and walks you through setup step by step. ## C++ Components for ESP-IDF DevFeed: [C++ Components for ESP-IDF]() Original publisher: [Read original article]() Author: John Lee Published: 2026-04-13T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [C++](), [ESP-IDF](), [ESP32](), [Wi-Fi](), [Networks](), [Development]() Tags: [beginner](), [blog](), [c-plus-plus](), [components](), [configuration](), [esp-idf](), [esp32](), [flash](), [guide](), [how-to](), [interface](), [wifi]() ### AI overview This tutorial explains how to structure and use C++ components for ESP-IDF on ESP32 systems. It demonstrates a Wi-Fi manager that connects to a local network through a setup access point and stores credentials in flash, and introduces a Deep Sleep component with step-by-step examples. ### Source excerpt This article presents two C++ ESP32 components: wifi_manager for seamless network connection and Deep Sleep for power-saving operation, both easily integrated using provided code examples. It also lists additional ESP-IDF components to streamline development. ## Protecting cities with AI-driven flash flood forecasting DevFeed: [Protecting cities with AI-driven flash flood forecasting]() Original publisher: [Read original article]() Published: 2026-03-12T13:03:15Z Content type: news Language: en Sources: [The latest research from Google]() Topics: [Artificial Intelligence](), [Google](), [Machine Learning & Artificial Intelligence](), [Resilience](), [data]() Tags: [ai](), [ai-training](), [climate-sustainability](), [data](), [earth-ai](), [flash](), [generative-ai](), [google](), [machine-learning](), [news](), [open-source-models-datasets](), [research](), [resilience](), [sustainability]() ### AI overview Google Research announces urban flash flood forecasts that use an AI-powered methodology to provide up to 24 hours of advance warning. The article describes the forecasting challenge posed by rapidly developing floods, limited ground-truth data, and the need to expand early-warning coverage for vulnerable communities. ### Source excerpt Climate & Sustainability ## Introducing Groundsource: Turning news reports into data with Gemini DevFeed: [Introducing Groundsource: Turning news reports into data with Gemini]() Original publisher: [Read original article]() Published: 2026-03-12T10:42:00Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [datasets](), [Ground truth / benchmark quality](), [data](), [Resilience](), [Google]() Tags: [climate-sustainability](), [datasets](), [flash](), [gemini](), [generative-ai](), [natural-language-processing](), [open-source-models-datasets](), [research](), [resilience](), [sustainability]() ### AI overview Google Research introduces Groundsource, a scalable methodology that uses Gemini to convert unstructured global news reports into verified historical data. Its first open-access dataset contains 2.6 million flash-flood records from more than 150 countries, supporting research, forecasting, and urban crisis resilience. ### Source excerpt Climate & Sustainability [Next page]()